{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fedee149",
   "metadata": {},
   "source": [
    "# 上周回顾"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "83a203f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1546101f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1.准备base url (对应该功能的url链接)\n",
    "base_url = \"https://api-cn.faceplusplus.com/facepp/v3/detect\"\n",
    "\n",
    "# api账户、通行证\n",
    "API_key = 'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z'\n",
    "API_secret = 'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7'\n",
    "# 2.准备参数数据\n",
    "payload = {\n",
    "    'api_key':'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z',\n",
    "    'api_secret':'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7',\n",
    "    'image_url':'https://tse1-mm.cn.bing.net/th/id/OIP-C.HPWFQ7UDQh93EKcDmiUQ_wHaIR?w=176&h=197&c=7&r=0&o=5&dpr=2&pid=1.7'}\n",
    "# 3.检查调用的请求方法：POST\n",
    "# 4.请求人脸数据\n",
    "r = requests.post(base_url,params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c395caba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e3b35a87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648470612,3c0fd466-0973-4c0f-af8b-8627eb1ecab2',\n",
       " 'time_used': 228,\n",
       " 'faces': [{'face_token': '56645189b6014ec5b645ed5a503c7175',\n",
       "   'face_rectangle': {'top': 108, 'left': 141, 'width': 107, 'height': 107}}],\n",
       " 'image_id': 'JoYdaZ0h1hGb4ih1d2EZVw==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f3fd77d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "face_detect = r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5ba217ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "face_tokens = face_detect['faces'][0]['face_token']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a2e6d501",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'56645189b6014ec5b645ed5a503c7175'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face_tokens"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ca348d8",
   "metadata": {},
   "source": [
    "# 人脸分析 （尝试调用人脸分析接口）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "aa4455e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1.url\n",
    "analyze_url = 'https://api-cn.faceplusplus.com/facepp/v3/face/analyze'\n",
    "# 2. api账户、通行证\n",
    "API_key = 'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z'\n",
    "API_secret = 'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7'\n",
    "# post\n",
    "# 4.权限：所有API KEY都可以调用此API\n",
    "# 5. payload：酬载，必要阅读API文档中的“必选项“和”可选项”以及“参数说明”\n",
    "payload = {\n",
    "    'api_key':'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z',\n",
    "    'api_secret':'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7',\n",
    "    'face_tokens': '56645189b6014ec5b645ed5a503c7175',\n",
    "    'return_attributes':'gender,age,smiling,headpose,facequality,eyestatus,emotion',\n",
    "    'beauty_score_min':0,\n",
    "    'beauty_score_max':100\n",
    "}\n",
    "# 6.requests\n",
    "r = requests.post(url = analyze_url, params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2e713ea3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0c61cbbc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'time_used': 288,\n",
       " 'request_id': '1648471260,474033f2-e4d6-4b61-832e-c40a3eedcf01',\n",
       " 'faces': [{'attributes': {'emotion': {'sadness': 0.039,\n",
       "     'neutral': 0.001,\n",
       "     'disgust': 0.191,\n",
       "     'anger': 0.001,\n",
       "     'surprise': 0.031,\n",
       "     'fear': 0.001,\n",
       "     'happiness': 99.736},\n",
       "    'gender': {'value': 'Male'},\n",
       "    'age': {'value': 53},\n",
       "    'eyestatus': {'left_eye_status': {'normal_glass_eye_open': 0.005,\n",
       "      'no_glass_eye_close': 0.0,\n",
       "      'occlusion': 0.0,\n",
       "      'no_glass_eye_open': 99.995,\n",
       "      'normal_glass_eye_close': 0.0,\n",
       "      'dark_glasses': 0.0},\n",
       "     'right_eye_status': {'normal_glass_eye_open': 0.003,\n",
       "      'no_glass_eye_close': 0.0,\n",
       "      'occlusion': 0.001,\n",
       "      'no_glass_eye_open': 99.996,\n",
       "      'normal_glass_eye_close': 0.0,\n",
       "      'dark_glasses': 0.0}},\n",
       "    'glass': {'value': 'None'},\n",
       "    'headpose': {'yaw_angle': 2.7483263,\n",
       "     'pitch_angle': 14.900063,\n",
       "     'roll_angle': 0.5866398},\n",
       "    'smile': {'threshold': 50.0, 'value': 100.0},\n",
       "    'facequality': {'threshold': 70.1, 'value': 85.357}},\n",
       "   'face_rectangle': {'width': 107, 'top': 108, 'left': 141, 'height': 107},\n",
       "   'face_token': '56645189b6014ec5b645ed5a503c7175'}]}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8c103714",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "223887df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>face_token</th>\n",
       "      <td>56645189b6014ec5b645ed5a503c7175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.sadness</th>\n",
       "      <td>0.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.neutral</th>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.disgust</th>\n",
       "      <td>0.191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.anger</th>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.surprise</th>\n",
       "      <td>0.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.fear</th>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.emotion.happiness</th>\n",
       "      <td>99.736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.gender.value</th>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.age.value</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.normal_glass_eye_open</th>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.no_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.occlusion</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.no_glass_eye_open</th>\n",
       "      <td>99.995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.normal_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.left_eye_status.dark_glasses</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.normal_glass_eye_open</th>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.no_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.occlusion</th>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.no_glass_eye_open</th>\n",
       "      <td>99.996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.normal_glass_eye_close</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.eyestatus.right_eye_status.dark_glasses</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.glass.value</th>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.yaw_angle</th>\n",
       "      <td>2.748326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.pitch_angle</th>\n",
       "      <td>14.900063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.headpose.roll_angle</th>\n",
       "      <td>0.58664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.smile.threshold</th>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.smile.value</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.facequality.threshold</th>\n",
       "      <td>70.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attributes.facequality.value</th>\n",
       "      <td>85.357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.width</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.top</th>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.left</th>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_rectangle.height</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                   0\n",
       "face_token                                          56645189b6014ec5b645ed5a503c7175\n",
       "attributes.emotion.sadness                                                     0.039\n",
       "attributes.emotion.neutral                                                     0.001\n",
       "attributes.emotion.disgust                                                     0.191\n",
       "attributes.emotion.anger                                                       0.001\n",
       "attributes.emotion.surprise                                                    0.031\n",
       "attributes.emotion.fear                                                        0.001\n",
       "attributes.emotion.happiness                                                  99.736\n",
       "attributes.gender.value                                                         Male\n",
       "attributes.age.value                                                              53\n",
       "attributes.eyestatus.left_eye_status.normal_gla...                             0.005\n",
       "attributes.eyestatus.left_eye_status.no_glass_e...                               0.0\n",
       "attributes.eyestatus.left_eye_status.occlusion                                   0.0\n",
       "attributes.eyestatus.left_eye_status.no_glass_e...                            99.995\n",
       "attributes.eyestatus.left_eye_status.normal_gla...                               0.0\n",
       "attributes.eyestatus.left_eye_status.dark_glasses                                0.0\n",
       "attributes.eyestatus.right_eye_status.normal_gl...                             0.003\n",
       "attributes.eyestatus.right_eye_status.no_glass_...                               0.0\n",
       "attributes.eyestatus.right_eye_status.occlusion                                0.001\n",
       "attributes.eyestatus.right_eye_status.no_glass_...                            99.996\n",
       "attributes.eyestatus.right_eye_status.normal_gl...                               0.0\n",
       "attributes.eyestatus.right_eye_status.dark_glasses                               0.0\n",
       "attributes.glass.value                                                          None\n",
       "attributes.headpose.yaw_angle                                               2.748326\n",
       "attributes.headpose.pitch_angle                                            14.900063\n",
       "attributes.headpose.roll_angle                                               0.58664\n",
       "attributes.smile.threshold                                                      50.0\n",
       "attributes.smile.value                                                         100.0\n",
       "attributes.facequality.threshold                                                70.1\n",
       "attributes.facequality.value                                                  85.357\n",
       "face_rectangle.width                                                             107\n",
       "face_rectangle.top                                                               108\n",
       "face_rectangle.left                                                              141\n",
       "face_rectangle.height                                                            107"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.json_normalize(r.json()['faces']).T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8da21a15",
   "metadata": {},
   "source": [
    "# 人脸对比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "f391bfe9",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "\n",
    "API_key = 'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z'\n",
    "API_secret = 'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7'\n",
    "\n",
    "payload = {\n",
    "    'api_key':API_key,\n",
    "    'api_secret':API_secret,\n",
    "    'image_url':'https://tse1-mm.cn.bing.net/th/id/OIP-C.HPWFQ7UDQh93EKcDmiUQ_wHaIR?w=176&h=197&c=7&r=0&o=5&dpr=2&pid=1.7'\n",
    "}\n",
    "r = requests.post(url = base_url,params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "53caf59b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'a4944837d559123b20799d4ced2ea713'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face_token01 = r.json()['faces'][0]['face_token']\n",
    "face_token01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "47434b28",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "\n",
    "API_key = 'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z'\n",
    "API_secret = 'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7'\n",
    "\n",
    "payload = {\n",
    "    'api_key':API_key,\n",
    "    'api_secret':API_secret,\n",
    "    'image_url':'https://tse2-mm.cn.bing.net/th/id/OIP-C.Xz3HbYZeNrdUnGJ7vXNzsQHaKO?pid=ImgDet&rs=1'\n",
    "}\n",
    "\n",
    "r = requests.post(url = base_url,params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "d311184d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'888b329610023f6cd100e3200a77928d'"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face_token02 = r.json()['faces'][0]['face_token']\n",
    "face_token02"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a1640c88",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1.url\n",
    "compare_url = 'https://api-cn.faceplusplus.com/facepp/v3/compare'\n",
    "\n",
    "# 2.api账户、通行证\n",
    "API_KEY = 'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z',\n",
    "API_Secret = 'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7',\n",
    "\n",
    "#3.请求方法：post\n",
    "\n",
    "# 4.准备payload 酬载\n",
    "payload = {\n",
    "    'api_key':API_KEY,\n",
    "    'api_secret':API_Secret,\n",
    "    'face_token1':face_token01,\n",
    "    'face_token2':face_token02\n",
    "}\n",
    "# 5.发起请求\n",
    "r = requests.post(url = compare_url,params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "37fa2aee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "3a7630e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648473343,83655fdd-0fc9-4db3-8e65-07b33e3f9c04',\n",
       " 'time_used': 325,\n",
       " 'confidence': 81.421,\n",
       " 'thresholds': {'1e-3': 62.327, '1e-4': 69.101, '1e-5': 73.975}}"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fc9873b",
   "metadata": {},
   "source": [
    "# 封装人脸检测函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b47b1048",
   "metadata": {},
   "outputs": [],
   "source": [
    "#思考： 能否将一些功能作函数的封装，实现更加便捷的API调用\n",
    "def face_detect(API_key,API_secret,image_url,landmark=None,attributes=None,face_rectangle=None,beauty_score_min=0,beauty_score_max=100):\n",
    "    \"\"\"faced++ 人脸检测接口函数\"\"\"\n",
    "    url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "    payload = {\n",
    "        'api_key':API_key,\n",
    "        'api_secret':API_secret,\n",
    "        'image_url':image_url,\n",
    "        'return_landmark':landmark,\n",
    "        'return_attributes':attributes,\n",
    "        'face_rectangle':face_rectangle,\n",
    "        'beauty_score_min':beauty_score_min,\n",
    "        'beauty_score_max':beauty_score_max\n",
    "    }\n",
    "    r= requests.post(url,payload)\n",
    "    return r.json()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "8654087b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b197ebd",
   "metadata": {},
   "source": [
    "# 人脸检测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "00995402",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "API_KEY = 'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z',\n",
    "API_Secret = 'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "aa481d7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "payload = {\n",
    "    'api_key':'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z',\n",
    "    'api_secret':'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7',\n",
    "    'image_url':'https://pic.qqtn.com/up/2018-7/15324138884643308.jpg',\n",
    "    'return_landmark':2,\n",
    "    'return_attributes':'gender,age,smiling,eyestatus,emotion,beauty',\n",
    "    'beauty_score_min':0\n",
    "}\n",
    "r = requests.post(url = base_url,params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "96484eba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ca449f49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648474463,398c86db-0f1b-42ec-934e-296897c686fc',\n",
       " 'time_used': 10351,\n",
       " 'faces': [{'face_token': 'c2fa21c8c5de751ee89698e056a483bd',\n",
       "   'face_rectangle': {'top': 270, 'left': 102, 'width': 270, 'height': 270},\n",
       "   'landmark': {'contour_chin': {'x': 246, 'y': 541},\n",
       "    'contour_left1': {'x': 91, 'y': 334},\n",
       "    'contour_left10': {'x': 136, 'y': 488},\n",
       "    'contour_left11': {'x': 145, 'y': 503},\n",
       "    'contour_left12': {'x': 158, 'y': 516},\n",
       "    'contour_left13': {'x': 172, 'y': 527},\n",
       "    'contour_left14': {'x': 188, 'y': 535},\n",
       "    'contour_left15': {'x': 206, 'y': 540},\n",
       "    'contour_left16': {'x': 225, 'y': 542},\n",
       "    'contour_left2': {'x': 92, 'y': 352},\n",
       "    'contour_left3': {'x': 94, 'y': 370},\n",
       "    'contour_left4': {'x': 98, 'y': 387},\n",
       "    'contour_left5': {'x': 103, 'y': 404},\n",
       "    'contour_left6': {'x': 109, 'y': 421},\n",
       "    'contour_left7': {'x': 115, 'y': 437},\n",
       "    'contour_left8': {'x': 121, 'y': 454},\n",
       "    'contour_left9': {'x': 128, 'y': 471},\n",
       "    'contour_right1': {'x': 346, 'y': 285},\n",
       "    'contour_right10': {'x': 358, 'y': 458},\n",
       "    'contour_right11': {'x': 350, 'y': 475},\n",
       "    'contour_right12': {'x': 339, 'y': 492},\n",
       "    'contour_right13': {'x': 325, 'y': 506},\n",
       "    'contour_right14': {'x': 308, 'y': 519},\n",
       "    'contour_right15': {'x': 289, 'y': 529},\n",
       "    'contour_right16': {'x': 269, 'y': 536},\n",
       "    'contour_right2': {'x': 352, 'y': 303},\n",
       "    'contour_right3': {'x': 358, 'y': 322},\n",
       "    'contour_right4': {'x': 362, 'y': 341},\n",
       "    'contour_right5': {'x': 365, 'y': 360},\n",
       "    'contour_right6': {'x': 367, 'y': 379},\n",
       "    'contour_right7': {'x': 367, 'y': 399},\n",
       "    'contour_right8': {'x': 366, 'y': 419},\n",
       "    'contour_right9': {'x': 363, 'y': 439},\n",
       "    'left_eye_bottom': {'x': 152, 'y': 341},\n",
       "    'left_eye_center': {'x': 154, 'y': 331},\n",
       "    'left_eye_left_corner': {'x': 130, 'y': 338},\n",
       "    'left_eye_lower_left_quarter': {'x': 140, 'y': 341},\n",
       "    'left_eye_lower_right_quarter': {'x': 165, 'y': 336},\n",
       "    'left_eye_pupil': {'x': 154, 'y': 331},\n",
       "    'left_eye_right_corner': {'x': 176, 'y': 332},\n",
       "    'left_eye_top': {'x': 149, 'y': 324},\n",
       "    'left_eye_upper_left_quarter': {'x': 137, 'y': 329},\n",
       "    'left_eye_upper_right_quarter': {'x': 164, 'y': 324},\n",
       "    'left_eyebrow_left_corner': {'x': 105, 'y': 307},\n",
       "    'left_eyebrow_lower_left_quarter': {'x': 121, 'y': 304},\n",
       "    'left_eyebrow_lower_middle': {'x': 138, 'y': 301},\n",
       "    'left_eyebrow_lower_right_corner': {'x': 174, 'y': 295},\n",
       "    'left_eyebrow_lower_right_quarter': {'x': 156, 'y': 297},\n",
       "    'left_eyebrow_upper_left_quarter': {'x': 118, 'y': 292},\n",
       "    'left_eyebrow_upper_middle': {'x': 136, 'y': 286},\n",
       "    'left_eyebrow_upper_right_corner': {'x': 173, 'y': 285},\n",
       "    'left_eyebrow_upper_right_quarter': {'x': 155, 'y': 285},\n",
       "    'mouth_left_corner': {'x': 186, 'y': 466},\n",
       "    'mouth_lower_lip_bottom': {'x': 233, 'y': 475},\n",
       "    'mouth_lower_lip_left_contour1': {'x': 208, 'y': 459},\n",
       "    'mouth_lower_lip_left_contour2': {'x': 200, 'y': 472},\n",
       "    'mouth_lower_lip_left_contour3': {'x': 215, 'y': 475},\n",
       "    'mouth_lower_lip_right_contour1': {'x': 253, 'y': 451},\n",
       "    'mouth_lower_lip_right_contour2': {'x': 265, 'y': 460},\n",
       "    'mouth_lower_lip_right_contour3': {'x': 250, 'y': 469},\n",
       "    'mouth_lower_lip_top': {'x': 230, 'y': 455},\n",
       "    'mouth_right_corner': {'x': 278, 'y': 450},\n",
       "    'mouth_upper_lip_bottom': {'x': 229, 'y': 454},\n",
       "    'mouth_upper_lip_left_contour1': {'x': 213, 'y': 437},\n",
       "    'mouth_upper_lip_left_contour2': {'x': 197, 'y': 450},\n",
       "    'mouth_upper_lip_left_contour3': {'x': 193, 'y': 464},\n",
       "    'mouth_upper_lip_left_contour4': {'x': 207, 'y': 458},\n",
       "    'mouth_upper_lip_right_contour1': {'x': 238, 'y': 432},\n",
       "    'mouth_upper_lip_right_contour2': {'x': 259, 'y': 439},\n",
       "    'mouth_upper_lip_right_contour3': {'x': 271, 'y': 450},\n",
       "    'mouth_upper_lip_right_contour4': {'x': 253, 'y': 450},\n",
       "    'mouth_upper_lip_top': {'x': 226, 'y': 437},\n",
       "    'nose_bridge1': {'x': 207, 'y': 315},\n",
       "    'nose_bridge2': {'x': 209, 'y': 337},\n",
       "    'nose_bridge3': {'x': 211, 'y': 360},\n",
       "    'nose_left_contour1': {'x': 189, 'y': 330},\n",
       "    'nose_left_contour2': {'x': 187, 'y': 382},\n",
       "    'nose_left_contour3': {'x': 183, 'y': 406},\n",
       "    'nose_left_contour4': {'x': 195, 'y': 409},\n",
       "    'nose_left_contour5': {'x': 207, 'y': 410},\n",
       "    'nose_middle_contour': {'x': 219, 'y': 411},\n",
       "    'nose_right_contour1': {'x': 229, 'y': 323},\n",
       "    'nose_right_contour2': {'x': 245, 'y': 373},\n",
       "    'nose_right_contour3': {'x': 256, 'y': 395},\n",
       "    'nose_right_contour4': {'x': 245, 'y': 403},\n",
       "    'nose_right_contour5': {'x': 233, 'y': 406},\n",
       "    'nose_tip': {'x': 213, 'y': 382},\n",
       "    'right_eye_bottom': {'x': 275, 'y': 320},\n",
       "    'right_eye_center': {'x': 273, 'y': 310},\n",
       "    'right_eye_left_corner': {'x': 247, 'y': 319},\n",
       "    'right_eye_lower_left_quarter': {'x': 261, 'y': 320},\n",
       "    'right_eye_lower_right_quarter': {'x': 288, 'y': 316},\n",
       "    'right_eye_pupil': {'x': 273, 'y': 310},\n",
       "    'right_eye_right_corner': {'x': 298, 'y': 309},\n",
       "    'right_eye_top': {'x': 272, 'y': 303},\n",
       "    'right_eye_upper_left_quarter': {'x': 258, 'y': 308},\n",
       "    'right_eye_upper_right_quarter': {'x': 286, 'y': 303},\n",
       "    'right_eyebrow_lower_left_corner': {'x': 231, 'y': 289},\n",
       "    'right_eyebrow_lower_left_quarter': {'x': 249, 'y': 282},\n",
       "    'right_eyebrow_lower_middle': {'x': 268, 'y': 278},\n",
       "    'right_eyebrow_lower_right_quarter': {'x': 288, 'y': 276},\n",
       "    'right_eyebrow_right_corner': {'x': 307, 'y': 274},\n",
       "    'right_eyebrow_upper_left_corner': {'x': 228, 'y': 279},\n",
       "    'right_eyebrow_upper_left_quarter': {'x': 244, 'y': 269},\n",
       "    'right_eyebrow_upper_middle': {'x': 265, 'y': 264},\n",
       "    'right_eyebrow_upper_right_quarter': {'x': 287, 'y': 264}},\n",
       "   'attributes': {'gender': {'value': 'Male'},\n",
       "    'age': {'value': 20},\n",
       "    'smile': {'value': 0.001, 'threshold': 50.0},\n",
       "    'eyestatus': {'left_eye_status': {'no_glass_eye_open': 97.04,\n",
       "      'no_glass_eye_close': 0.0,\n",
       "      'normal_glass_eye_open': 2.748,\n",
       "      'normal_glass_eye_close': 0.001,\n",
       "      'dark_glasses': 0.011,\n",
       "      'occlusion': 0.199},\n",
       "     'right_eye_status': {'no_glass_eye_open': 95.897,\n",
       "      'no_glass_eye_close': 0.0,\n",
       "      'normal_glass_eye_open': 0.037,\n",
       "      'normal_glass_eye_close': 0.0,\n",
       "      'dark_glasses': 0.003,\n",
       "      'occlusion': 4.063}},\n",
       "    'emotion': {'anger': 0.0,\n",
       "     'disgust': 0.0,\n",
       "     'fear': 0.0,\n",
       "     'happiness': 0.0,\n",
       "     'neutral': 99.998,\n",
       "     'sadness': 0.002,\n",
       "     'surprise': 0.0},\n",
       "    'beauty': {'male_score': 86.531, 'female_score': 88.339},\n",
       "    'glass': {'value': 'None'}}}],\n",
       " 'image_id': 'pW4wlJk+zNS9jwR1IY8RfA==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5287f87",
   "metadata": {},
   "source": [
    "# 人脸检测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "128d7811",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=232x405 at 0x2187ADA1190>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from PIL import Image\n",
    "Image.open('qianxi.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "bf2dcc1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "API_KEY = 'b0EHP47Q3skXaAdxRUxVSPdsDFpQe93z',\n",
    "API_Secret = 'ep0nGCCMAqSrGeXMx7202O6Xy7MDC1k7'\n",
    "\n",
    "def face_detect(API_KEY,API_Secret,image_path):\n",
    "    \"\"\"该函数为调用face++ face_detect接口\"\"\"\n",
    "    base_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'\n",
    "    files = {'image_file':('qianxi.jpg',open('qianxi.jpg','rb'),'multipart/form-data')}\n",
    "    payload = {\n",
    "        'api_key':API_KEY,\n",
    "        'api_secret':API_Secret\n",
    "    }\n",
    "    r = requests.post(base_url,params = payload,files = files)\n",
    "    return r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "77b5f8b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648476543,484889c7-0419-410a-a75c-cb3bf107fa8f',\n",
       " 'time_used': 77,\n",
       " 'faces': [{'face_token': '62c56fec2be072484c7c015165b4db47',\n",
       "   'face_rectangle': {'top': 140, 'left': 52, 'width': 140, 'height': 140}}],\n",
       " 'image_id': 'qn9K1bXi+XB7ybzlpomhHw==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 测试\n",
    "face_detect(API_KEY,API_Secret,'qianxi.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f193b13",
   "metadata": {},
   "source": [
    "# 准备人脸元数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "559a04a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648476607,7b53ffda-28cc-458e-b61c-8a70088418d1',\n",
       " 'time_used': 77,\n",
       " 'faces': [{'face_token': 'a8cc4ba6de379f244c25bb95d264ddec',\n",
       "   'face_rectangle': {'top': 140, 'left': 52, 'width': 140, 'height': 140}}],\n",
       " 'image_id': 'qn9K1bXi+XB7ybzlpomhHw==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face_detect(API_KEY,API_Secret,'qianxi.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "fdc42ae5",
   "metadata": {},
   "outputs": [],
   "source": [
    "qianxi_meta_data = face_detect(API_KEY,API_Secret,'qianxi.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "f1b79f79",
   "metadata": {},
   "outputs": [],
   "source": [
    "qianxi_meta_data_face_token = qianxi_meta_data['faces'][0]['face_token']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "e423d398",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'7e86218885ed499f6aad1a5d71acf27d'"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qianxi_meta_data_face_token"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b754496",
   "metadata": {},
   "source": [
    "# 给出人脸图片进行相似度查询"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "4c787d1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648476796,2c3f9ef2-8e1c-4b07-bdce-73c151f9ef40',\n",
       " 'time_used': 35,\n",
       " 'faces': [{'face_token': '81f5789f95bdc5524d50f38f39b08309',\n",
       "   'face_rectangle': {'top': 140, 'left': 52, 'width': 140, 'height': 140}}],\n",
       " 'image_id': 'qn9K1bXi+XB7ybzlpomhHw==',\n",
       " 'face_num': 1}"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 准备测试人脸图片 face2\n",
    "face_detect(API_KEY,API_Secret,'qianxi02.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "29afecc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "face02_token = face_detect(API_KEY,API_Secret,'qianxi02.jpg')['faces'][0]['face_token']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "01784d88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ddf759526f79cbe1b6236700e181b584'"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "face02_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "0edc7876",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2.人脸对比\n",
    "compare_url = 'https://api-cn.faceplusplus.com/facepp/v3/compare'\n",
    "payload = {\n",
    "    'api_key':API_KEY,\n",
    "    'api_secret':API_Secret,\n",
    "    'face_token1':qianxi_meta_data_face_token,\n",
    "    'face_token2':face02_token\n",
    "}\n",
    "r = requests.post(compare_url,params = payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "6f13316f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'request_id': '1648477458,58bd8b23-44a3-44aa-9f72-5ea5a75c4d7f',\n",
       " 'time_used': 311,\n",
       " 'confidence': 97.116,\n",
       " 'thresholds': {'1e-3': 62.327, '1e-4': 69.101, '1e-5': 73.975}}"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "559e87a7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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